package com.lsx143.wordcount.day10;

import com.lsx143.wordcount.bean.WaterSensor;
import org.apache.flink.api.common.eventtime.WatermarkStrategy;
import org.apache.flink.configuration.Configuration;
import org.apache.flink.streaming.api.datastream.DataStream;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.table.api.Table;
import org.apache.flink.table.api.bridge.java.StreamTableEnvironment;

import java.time.Duration;

import static org.apache.flink.table.api.Expressions.$;

public class Flink_GroupWindow_SQL {
    public static void main(String[] args) {
        Configuration conf = new Configuration();
        conf.setInteger("rest.port", 20000);
        StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment(conf);
        env.setParallelism(1);

        DataStream<WaterSensor> waterSensorStream =
                env
                        .fromElements(new WaterSensor("sensor_1", 1000L, 10),
                                new WaterSensor("sensor_1", 7000L, 999),
                                new WaterSensor("sensor_1", 2000L, 20),
                                new WaterSensor("sensor_1", 4001L, 40),
                                new WaterSensor("sensor_2", 3000L, 30),
                                new WaterSensor("sensor_2", 6000L, 60))
                        .assignTimestampsAndWatermarks(
                                WatermarkStrategy
                                        .<WaterSensor>forBoundedOutOfOrderness(Duration.ofSeconds(1))
                                        .withTimestampAssigner((ws, ts) -> ws.getTs())
                        );

        StreamTableEnvironment tEnv = StreamTableEnvironment.create(env);

        // 每隔5s统计最近5s内每个传感器的水位和
        Table table = tEnv.fromDataStream(waterSensorStream, $("id"), $("ts").rowtime(), $("vc"));
        tEnv.createTemporaryView("sensor", table);

        tEnv.sqlQuery("select " +
                " id, " +
                " tumble_start(ts, interval '2' second) stt, " +
                " tumble_end(ts, interval '2' second) edt, " +
                " sum(vc) sum_vc " +
                "from sensor " +
                "group by id, TUMBLE(ts, interval '2' second)")
                .execute()
                .print();


    }
}
